1 citations · 1 across the 4 of their papers we have counts for
4 papers
Rapid Training Data Creation by Synthesizing Medical Images for Classification and Localization
Abhishek Kushwaha, Sarthak Gupta, Anish Bhanushali +1
While the use of artificial intelligence (AI) for medical image analysis is gaining wide acceptance, the expertise, time and cost required to generate annotated data in the medical…
Target-Independent Domain Adaptation for WBC Classification using Generative Latent Search
Prashant Pandey, Prathosh AP, Vinay Kyatham +2
Automating the classification of camera-obtained microscopic images of White Blood Cells (WBCs) and related cell subtypes has assumed importance since it aids the laborious manual…
Quantitative analysis of numerically focused red blood cells using subdivided two-beam interference (STBI) based lateral-shearing digital holographic microscope
Shital Devinder, Ashish Lal, Tathagato Rai Dastidar +1
A lateral shear interferometer based digital holographic microscopy has been realized to study the morphology dynamics of Human red blood cells quantitatively. Here, a lateral shea…
Learning a Deep Convolution Network with Turing Test Adversaries for Microscopy Image Super Resolution
Francis Tom, Himanshu Sharma, Dheeraj Mundhra +2
Adversarially trained deep neural networks have significantly improved performance of single image super resolution, by hallucinating photorealistic local textures, thereby greatly…